Production Planning & Sequence Optimization for a Polymers Manufacturer

Case Studies

Production Planning & Sequence Optimization for a Polymers Manufacturer

Business Objective: Produce polymer grades at optimal levels to meet customer demand on time, maximizing revenue and minimizing switching costs Key Solution:

The solution provides Machine Learning (ML) based recommendation on optimum product mix to be targeted, in the form of a weekly production plan to maximize revenue
Using the production plan, it further recommends optimal manufacturing sequence on the production line to reduce costs and improve time to market
Various elements such as market conditions, plant conditions, technical constraints, inventory inputs, raw material supply and other production parameters were utilized to build the solution

Business Impacts & Outcomes: